Kai Shu

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 9 papers; trusts 112 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Shu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Zhiwei Jin
  2. Sejeong Kwon
  3. Carlos Castillo
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Suhang Wang
  7. Kyunghyun Cho
  8. Diederik P. Kingma
  9. Yoon Kim
  10. Alex Krizhevsky

Who trusts Kai Shu overall

  1. Xinyi Zhou
  2. Ray Oshikawa
  3. Van-Hoang Nguyen
  4. Xinyi Zhou
  5. Rohit Kumar Kaliyar
  6. Yi-Ju Lu
  7. Neema Kotonya
  8. Jing Qian
  9. Preslav Nakov
  10. Kazunari Sugiyama

Papers from Kai Shu's perspective

Ordered by how strongly the researchers Kai Shu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers